因为最近接触超分辨问题比较多,为了便于分析,就做了个思维导图,总结一下最近接触到的8篇超分辨文章。
话不多说直接上图
顺便附上俩篇超分辨的笔记连接
[论文笔记] Enhanced Deep Residual Networks for Single Image Super-Resolution
[论文笔记] Deep Back-Projection Networks For Super-Resolution
剩下6篇,因为比较繁忙(lan),就没有做链接,附上论文名称,感兴趣的自己搜索,观看~
3:ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
4:Image Super-Resolution Using Very Deep Residual Channel Attention Networks
5:Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
6:Progressive Perception-Oriented Network for Single Image Super-Resolution
7:Feedback Network for Image Super-Resolution
8:Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination
图有点大,请下载观看~


本文总结了8篇超分辨领域的最新研究论文,包括ESRGAN、Deep Back-Projection Networks等,涉及生成对抗网络、深度残差网络及注意力机制等关键技术。
6万+

被折叠的 条评论
为什么被折叠?



